TECH 11 — OpenAI / GPT

Not on the API tiers we build with — no-training terms are contractual, and the data-flow diagram showing exactly what leaves your boundary is a standard deliverable. Stricter requirements route to [architecture alternatives](/services/generative-ai-development/) we'll design honestly.

Per task, per quarter — which is the argument for the routing layer, not for a longer opinion here. Your evaluation set re-benchmarks candidates as releases land; the router adopts winners without a rebuild.

Genuinely task-dependent and refreshingly unimportant when your architecture is model-agnostic — [the comparison](/compare/openai-vs-claude-vs-gemini/) carries current guidance, and our builds let you change the answer later cheaply.

The production version of that idea, yes: [RAG over your documents](/technologies/rag/) with permissions, audit, and measured accuracy — [the internal-copilot pattern](/resources/how-to/how-to-build-a-custom-gpt-for-internal-operations/) built as software rather than a settings page.

Focused features: 4–8 weeks including evaluation-set construction. The [free assessment](/services/ai-application-development/) ranks your candidates first — a week well spent before any build.